Gas thickness on-line monitoring instrument design based on BP neural network

This paper uses neural network to process acquired digital signals on line, realizing automotive recognition to and thickness analysis of three kinds of gas. This method can automatically measure and show working temperature of air-sense organ, and according to a given temperature adjust the temperature, which decreases effect of intercross sensitivity and improves accuracy of measurement results.